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PairwiseKernel — scikit-learn 1.6.1 documentation
PairwiseKernel ( gamma = 1.0 , gamma_bounds = (1e-05, 100000.0)...Parameters : gamma float, default=1.0 Parameter gamma of the pairwise...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.PairwiseKernel.html -
11.1. Array API support (experimental) — scikit...
1.1.1. PyTorch Support # PyTorch Tensors...Thomas Fan at PyData NYC 2023. 11.1.1. Example usage # Here is an example...scikit-learn.org/stable/modules/array_api.html -
1.11. Ensembles: Gradient boosting, random fore...
Gradient Boosting models 1.11.1.1.1. Usage # Most of the parameters...= [[ 1 , 0 ], ... [ 1 , 0 ], ... [ 1 , 0 ], ... [ 0 , 1 ]] >>>...scikit-learn.org/stable/modules/ensemble.html -
Parallel — scikit-learn 1.6.1 documentation
Added in version 1.3. __call__ ( iterable ) [source]...scikit-learn.org/stable/modules/generated/sklearn.utils.parallel.Parallel.html -
IsolationForest example — scikit-learn 1.6.1 do...
1 ], [ 0.7 , 0.4 ]]) cluster_1 = 0.4 * rng . randn...assigned a ground truth label 1 whereas the outliers (created...scikit-learn.org/stable/auto_examples/ensemble/plot_isolation_forest.html -
Feature agglomeration — scikit-learn 1.6.1 docu...
- 1 )) connectivity = grid_to_graph...images . shape ) plt . figure ( 1 , figsize = ( 4 , 3.5 )) plt ....scikit-learn.org/stable/auto_examples/cluster/plot_digits_agglomeration.html -
Release Highlights for scikit-learn 1.6 — sciki...
1 , 6 , np . nan ]) . reshape ( - 1 , 1 ) y = [ 0 ,..., 0 , 1 , 1 ] forest = ExtraTreesClassifier ( random_state =...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_6_0.html -
sample_without_replacement — scikit-learn 1.6.1...
1, 5, 0, 7]) On this page This Page...scikit-learn.org/stable/modules/generated/sklearn.utils.random.sample_without_replacement.html -
2.5. Decomposing signals in components (matrix ...
([[ 1 , 0 ], [ 1 , 6.1 ], [ 1 , 0 ], [ 1 , 4 ], [ 3.2 , 1 ], [...array ([[ 1 , 1 ], [ 2 , 1 ], [ 3 , 1.2 ], [ 4 , 1 ], [ 5 , 0.8...scikit-learn.org/stable/modules/decomposition.html -
normalized_mutual_info_score — scikit-learn 1.6...
1 , 1 ], [ 0 , 0 , 1 , 1 ]) ... 1.0 >>> normali...e ([ 0 , 0 , 1 , 1 ], [ 1 , 1 , 0 , 0 ]) ... 1.0 If classes members...scikit-learn.org/stable/modules/generated/sklearn.metrics.normalized_mutual_info_score.html